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A new multi-lateral filter for real-time depth enhancement
Advanced Engineering Department, IEE S.A., Luxembourg; Universtity of Luxembourg, Luxembourg, Luxembourg .
SnT - Universtity of Luxembourg, Luxembourg.
Advanced Engineering Department, IEE S.A..
Advanced Engineering Department, IEE S.A., Luxembourg .
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2011 (English)In: 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011, IEEE , 2011, 42-47 p.Conference paper (Refereed)
Abstract [en]

We present an adaptive multi-lateral filter for real-time low-resolution depth map enhancement. Despite the great advantages of Time-of-Flight cameras in 3-D sensing, there are two main drawbacks that restricts their use in a wide range of applications; namely, their fairly low spatial resolution, compared to other 3-D sensing systems, and the high noise level within the depth measurements. We therefore propose a new data fusion method based upon a bilateral filter. The proposed filter is an extension the pixel weighted average strategy for depth sensor data fusion. It includes a new factor that allows to adaptively consider 2-D data or 3-D data as guidance information. Consequently, unwanted artefacts such as texture copying get almost entirely eliminated, outperforming alternative depth enhancement filters. In addition, our algorithm can be effectively and efficiently implemented for real-time applications.

Place, publisher, year, edition, pages
IEEE , 2011. 42-47 p.
Keyword [en]
3D sensing, adaptive multilateral filter, bilateral filter, data fusion method, pixel weighted average strategy, real time depth enhancement, real time low resolution depth map enhancement, time-of-flight camera
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-72538DOI: 10.1109/AVSS.2011.6027291ScopusID: 2-s2.0-80053979704ISBN: 978-145770845-9OAI: diva2:487736
2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011, Klagenfurt, 30 August-2 September, 2011

QC 20120208

Available from: 2012-01-31 Created: 2012-01-31 Last updated: 2016-04-28Bibliographically approved

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Ottersten, Björn
Signal Processing

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